{"id":"W7093291619","doi":"10.5281/zenodo.17424857","title":"Phyllium ouelleti Cumming, Foley, Hennemann, Le Tirant & Buscher 2025, sp. nov.","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Philosophy, Science, and History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"","keywords":"Holotype; Margin (machine learning); Lobe; Morphology (biology); Body surface; Type (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001207783,0.0004555741,0.0004591807,0.0007858486,0.01179804,0.003056779,0.002316515,0.0001398104,0.05907007],"category_scores_gemma":[0.0003214583,0.0004984492,0.0002521194,0.0006497143,0.001725966,0.0006779792,0.001865745,0.0007484812,0.0277556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000384028,"about_ca_system_score_gemma":0.00005735045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003123495,"about_ca_topic_score_gemma":0.00001705972,"domain_scores_codex":[0.9959792,0.0005030797,0.0007068136,0.001090926,0.0007506834,0.0009692703],"domain_scores_gemma":[0.9971721,0.00004463064,0.0002568549,0.001021654,0.001161212,0.0003435211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001110911,0.0005725584,0.00000231725,0.0002797531,0.0001234513,0.00002800903,0.0118728,0.00002134266,0.0009906364,0.3197036,0.6415451,0.02474932],"study_design_scores_gemma":[0.0009785435,0.000250664,0.0001050562,0.0002070668,0.00007635297,0.00001416818,0.003008048,0.0003146063,0.0001625719,0.002369795,0.9919975,0.0005156272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003865978,0.002869784,0.0007651852,0.005685623,0.001667897,0.0007148784,0.0003315774,0.0006723383,0.9834267],"genre_scores_gemma":[0.8211247,0.0007298391,0.00007263759,0.001361133,0.001478952,1.770479e-7,0.0005579077,0.001588691,0.173086],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8172587,"threshold_uncertainty_score":0.9997467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04314287241072654,"score_gpt":0.2392573716764276,"score_spread":0.1961144992657011,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}